MARC details
000 -LEADER |
fixed length control field |
03142nam a22004097a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
221018s20222022 xxu||||| |||| 00| 0 eng d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
1549-8417 |
024 ## - OTHER STANDARD IDENTIFIER |
Standard number or code |
01209203-990000000-00070 [pii] |
024 ## - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1097/PTS.0000000000001051 [doi] |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
Ovid MEDLINE(R) |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
PMID |
36112536 |
245 ## - TITLE STATEMENT |
Title |
Using Community Detection Techniques to Identify Themes in COVID-19-Related Patient Safety Event Reports. |
251 ## - Source |
Source |
Journal of patient safety. 2022 Sep 08 |
252 ## - Abbreviated Source |
Abbreviated source |
J Patient Saf. 2022 Sep 08 |
253 ## - Journal Name |
Journal name |
Journal of patient safety |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Year |
2022 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Manufacturer |
FY2023 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Publication date |
2022 Sep 08 |
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
Publication status |
aheadofprint |
266 ## - Date added to catalog |
Date added to catalog |
2022-10-20 |
520 ## - SUMMARY, ETC. |
Abstract |
CONCLUSIONS: Our study begins the long process of understanding new challenges created by the pandemic and highlights how machine learning methods can be used to understand these and similar challenges. Using community detection techniques to analyze PSE reports and identify themes within them can help give healthcare systems the necessary information to improve patient safety and the quality of care they deliver. Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved. |
520 ## - SUMMARY, ETC. |
Abstract |
METHODS: We used community detection techniques to group 2082 PSE reports from January 1, 2020, to January 31, 2021, that mentioned COVID-19 into 65 communities. We then grouped these communities into 8 clinically relevant themes for analysis. |
520 ## - SUMMARY, ETC. |
Abstract |
OBJECTIVES: The COVID-19 pandemic has transformed how healthcare is delivered to patients. As the pandemic progresses and healthcare systems continue to adapt, it is important to understand how these changes in care have changed patient care. This study aims to use community detection techniques to identify and facilitate analysis of themes in patient safety event (PSE) reports to better understand COVID-19 pandemic's impact on patient safety. With this approach, we also seek to understand how community detection techniques can be used to better identify themes and extract information from PSE reports. |
520 ## - SUMMARY, ETC. |
Abstract |
RESULTS: We found the COVID-19 pandemic is associated with the following clinically relevant themes: (1) errors due to new and unknown COVID-19 protocols/workflows; (2) COVID-19 patients developing pressure ulcers; (3) unsuccessful/incomplete COVID-19 testing; (4) inadequate isolation of COVID-19 patients; (5) inappropriate/inadequate care for COVID-19 patients; (6) COVID-19 patient falls; (7) delays or errors communicating COVID-19 test results; and (8) COVID-19 patients developing venous thromboembolism. |
546 ## - LANGUAGE NOTE |
Language note |
English |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
IN PROCESS -- NOT YET INDEXED |
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
Institution |
MedStar Institute for Innovation |
656 ## - INDEX TERM--OCCUPATION |
Department |
National Center for Human Factors in Healthcare |
657 ## - INDEX TERM--FUNCTION |
Medline publication type |
Journal Article |
700 ## - ADDED ENTRY--PERSONAL NAME |
Local Authors |
Boxley, Christian |
Institution Code |
NCHF |
700 ## - ADDED ENTRY--PERSONAL NAME |
Local Authors |
Fong, Allan |
700 ## - ADDED ENTRY--PERSONAL NAME |
Local Authors |
Krevat, Seth |
700 ## - ADDED ENTRY--PERSONAL NAME |
Local Authors |
Ratwani, Raj |
790 ## - Authors |
All authors |
Boxley C, Fong A, Krevat S, Ratwani R, Sengupta S |
856 ## - ELECTRONIC LOCATION AND ACCESS |
DOI |
<a href="https://dx.doi.org/10.1097/PTS.0000000000001051">https://dx.doi.org/10.1097/PTS.0000000000001051</a> |
Public note |
https://dx.doi.org/10.1097/PTS.0000000000001051 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Journal Article |
Item type description |
Article |